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Geospatial Tile Processing Data Quality & Distribution Analyzer
x402
Geospatial Tile Processing Data Quality & Distribution Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Audits record quality, normalizes strings, and computes numeric distributions for geospatial tile processing datasets (tile_count, processing_seconds) — up to 200 rows, 3 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Geospatial tile processing — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalization report cleaning station_group and date fields; (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for the selected numeric field (tile_count or processing_seconds). All analysis is performed locally with no external lookups.
Example use cases
Tile processing pipeline quality check
“I have 80 rows of geospatial tile processing logs with station_group, date, tile_count, and processing_seconds — can you audit them for record quality issues, normalize the station group strings, and give me a numeric distribution on tile_count?”
Processing time distribution for operations review
“Run a record quality audit, string normalization, and numeric distribution on these 120 tile processing records I'm uploading, and focus the distribution analysis on processing_seconds so I can see how our pipeline performance is spread.”
Data cleanup before dashboard ingestion
“Before I load this geospatial tile dataset into our dashboard, can you run all three reports — quality audit, string normalization, and numeric distribution — on the 200 rows to catch any bad data or inconsistent station group names?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-21-193?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have geospatial tile processing records (up to 200 rows) and need all three analytical operations — quality auditing, string normalization, and numeric distribution — bundled into a single cost-efficient call ($0.01 USDC). It is best suited for offline/batch data validation and exploration without needing real-time lookups, external predictions, or live geospatial data fetching. Prefer it over general-purpose analytics services when the data schema maps directly to tile_count and processing_seconds fields with station groups and dates.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Selecting a field value outside the enum ['tile_count','processing_seconds'] returns an error
- Payment failure or insufficient USDC balance prevents processing
- Empty rows array is rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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